Design Patterns for Cloud Native Applications: Patterns in Practice Using APIs, Data, Events, and Streams

Copyright
Table of Contents
Preface
	Conventions Used in This Book
	O’Reilly Online Learning
	How to Contact Us
	Acknowledgments
Chapter 1. Introduction to Cloud Native
	What Is Cloud Native?
		Designed as a Collection of Microservices
		Use Containerization and Container Orchestration
		Automate the Development Life Cycle
		Dynamic Management
	Methodology for Building Cloud Native Apps
		Designing the Application
		Developing the Application
		Connectivity, Compositions, and APIs
		Automating the Development, Release, and Deployment
		Running in a Dynamic Environment
		Control Plane for Dynamic Management
		Observability and Monitoring
	Design Patterns for Building Cloud Native Apps
		Communication Patterns
		Connectivity and Composition Patterns
		Data Management Patterns
		Event-Driven Architecture Patterns
		Stream-Processing Patterns
		API Management and Consumption Patterns
	Reference Architecture for Cloud Native Apps
	Summary
Chapter 2. Communication Patterns
	Synchronous Messaging Patterns
		Request-Response Pattern
		Remote Procedure Calls Pattern
		Summary of Synchronous Messaging Patterns
	Asynchronous Messaging Patterns
		Single-Receiver Pattern
		Multiple-Receiver Pattern
		Asynchronous Request-Reply Pattern
		Summary of Asynchronous Messaging Patterns
	Service Definition Patterns
		Service Definitions in Synchronous Communication
		Service Definition in Asynchronous Communication
	Technologies to Implement Synchronous Messaging Patterns
		RESTful Services
		GraphQL
		WebSocket
		gRPC
		Summary of Synchronous Messaging Technologies
	Technologies to Implement Asynchronous Messaging Patterns
		AMQP
		Kafka
		NATS
	Testing
	Security
	Observability and Monitoring
	DevOps
	Summary
Chapter 3. Connectivity and Composition Patterns
	Connectivity Patterns
		Service Connectivity Pattern
		Service Abstraction Pattern
		Service Registry and Discovery Pattern
		Resilient Connectivity Pattern
		Sidecar Pattern
		Service Mesh Pattern
		Sidecarless Service Mesh Pattern
		Technologies for Implementing Service Connectivity Patterns
		Summary of Connectivity Patterns
	Service Composition Patterns
		Service Orchestration Pattern
		Service Choreography Pattern
		Saga Pattern
		Technologies for Implementing Service Composition Patterns
		Summary of Service Composition Patterns
	Summary
Chapter 4. Data Management Patterns
	Data Architecture
	Types and Forms of Data
	Data Stores
		Relational Databases
		NoSQL Databases
		Filesystem Storage
		Data Store Summary
	Data Management
		Centralized Data Management
		Decentralized Data Management
		Hybrid Data Management
		Data Management Summary
	Data Composition Patterns
		Data Service Pattern
		Composite Data Services Pattern
		Client-Side Mashup Pattern
		Summary of Data Composition Patterns
	Data Scaling Patterns
		Data Sharding Pattern
		Command and Query Responsibility Segregation Pattern
		Summary of Data Scaling Patterns
	Performance Optimization Patterns
		Materialized View Pattern
		Data Locality Pattern
		Caching Pattern
		Static Content Hosting Pattern
		Summary of Performance Optimization Patterns
	Reliability Patterns
		Transaction Pattern
		Summary of Transaction Reliability Pattern
		Summary of the Vault Key Pattern
	Technologies for Implementing Data Management Patterns
		Relational Database Management Systems
		Apache Cassandra
		Apache HBase
		MongoDB
		Redis
		Amazon DynamoDB
		Apache HDFS
		Amazon S3
		Azure Cosmos DB
		Google Cloud Spanner
		Summary of Technologies
	Testing
	Security
	Observability and Monitoring
	DevOps
	Summary
Chapter 5. Event-Driven Architecture Patterns
	Event-Driven Architecture
		Exactly Once Processing
		Message Broker Categories
		CloudEvents
		Event Schema
	Event-Delivery Patterns
		Producer-Consumer Pattern
		Publisher-Subscriber Pattern
		Fire and Forget Pattern
		Store and Forward Pattern
		Polling Pattern
		Request Callback Pattern
		Summary of Event-Delivery Patterns
	State Management Patterns
		Event Sourcing Pattern
		Summary of State Management Pattern
	Orchestration Patterns
		Mediator Pattern
		Pipe and Filter Pattern
		Priority Queue Pattern
		Summary of Orchestration Patterns
	Technologies for Event-Driven Architecture
		Apache ActiveMQ
		RabbitMQ
		Amazon SQS
		Amazon SNS
		Azure Event Grid
		Azure Service Bus Queues
		Google Cloud Pub/Sub
		Summary of Message Broker Technologies
	Testing
	Security
	Observability and Monitoring
	DevOps
	Summary
Chapter 6. Stream-Processing Patterns
	What Is a Stream?
	What Is Stream Processing?
	Streaming Data Processing Patterns
		Transformation Pattern
		Filters and Thresholds Pattern
		Windowed Aggregation Pattern
		Stream Join Pattern
		Temporal Event Ordering Pattern
		Machine Learner Pattern
		Summary of Streaming Data Processing Patterns
	Scaling and Performance Optimization Patterns
		Sequential Convoy Pattern
		Buffered Event Ordering Pattern
		Course Correction Pattern
		Watermark Pattern
		Summary of Scaling and Performance Optimization Patterns
	Reliability Patterns
		Replay Pattern
		Periodic Snapshot State Persistence Pattern
		Two-Node Failover Pattern
		Summary of Reliability Patterns
	Technologies
		Esper
		Siddhi
		ksqlDB
		Apache Spark
		Apache Flink
		Amazon Kinesis
		Azure Stream Analytics
		Google Dataflow
		Summary of Stream-Processing Technologies
	Testing
	Security
	Observability and Monitoring
	DevOps
	Summary
Chapter 7. API Management and Consumption Patterns
	API Management Patterns
		API Gateway Pattern
		API Microgateway Pattern
		Service Mesh Sidecar as an API Gateway Pattern
		Technologies for Implementing API Management Patterns
		Summary of API Management Patterns
	API Consumption Patterns
		Direct Frontend-to-Microservices Communication Pattern
		Frontends Consuming Services Through API Gateway Pattern
		Backend for Frontends Pattern
		Summary of API Consumption Patterns
	Summary
Chapter 8. Cloud Native Patterns in Practice
	Building an Online Retail System
		Product Catalog
		Order Management
		Order Tracking and Prediction
		Product Recommendations
		Customer and Partner Management
	Building the High-Level Architecture
	Building External APIs
	Connecting Services
	Performing Data Management
	Using Event-Driven Architecture
	Using Stream Processing
	Implementing Dynamic Management in a Cloud Environment
	Summary
Index
About the Authors
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